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首页> 外文期刊>IEEE Transactions on Robotics >The Power Dissipation Method and Kinematic Reducibility of Multiple-Model Robotic Systems
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The Power Dissipation Method and Kinematic Reducibility of Multiple-Model Robotic Systems

机译:多模型机器人系统的功率耗散方法和运动学可简化性

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摘要

This paper develops a formal connection between the power dissipation method (PDM) and Lagrangian mechanics, with specific application to robotic systems. Such a connection is necessary for understanding how some of the successes in motion planning and stabilization for smooth kinematic robotic systems can be extended to systems with frictional interactions and overconstrained systems. We establish this connection using the idea of a multiple-model system, and then show that multiple-model systems arise naturally in a number of instances, including those arising in cases traditionally addressed using the PDM. We then give necessary and sufficient conditions for a dynamic multiple-model system to be reducible to a kinematic multiple-model system. We use this result to show that solutions to the PDM are actually kinematic reductions of solutions to the Euler-Lagrange equations. We are particularly motivated by mechanical systems undergoing multiple intermittent frictional contacts, such as distributed manipulators, overconstrained wheeled vehicles, and objects that are manipulated by grasping or pushing. Examples illustrate how these results can provide insight into the analysis and control of physical systems.
机译:本文建立了功耗方法(PDM)与拉格朗日力学之间的正式联系,并将其具体应用于机器人系统。这种连接对于理解如何将平滑运动学机器人系统的运动规划和稳定性方面的某些成功扩展到具有摩擦相互作用和约束过大的系统而言是必要的。我们使用多模型系统的思想建立了这种联系,然后证明了多模型系统在许多情况下自然出现,包括那些在传统上使用PDM解决的情况下出现的情况。然后,我们给出了动态多模型系统可简化为运动学多模型系统的必要和充分条件。我们使用该结果表明,PDM的解实际上是Euler-Lagrange方程解的运动学简化。受到多个间歇性摩擦接触的机械系统尤其是我们的动力,例如分布式机械手,过度约束的轮式车辆以及通过抓握或推动操作的物体。实例说明了这些结果如何提供对物理系统分析和控制的洞察力。

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